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NoesisLab
/
Collins-Embedding-3M

Sentence Similarity
sentence-transformers
Safetensors
English
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use NoesisLab/Collins-Embedding-3M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use NoesisLab/Collins-Embedding-3M with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("NoesisLab/Collins-Embedding-3M")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
Collins-Embedding-3M
13.8 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
OzTianlu's picture
OzTianlu
Delete modeling_hf.py
6170b11 verified about 2 months ago
  • 0_CollinsSTWrapper
    Upload modeling_hf.py about 2 months ago
  • .gitattributes
    1.58 kB
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  • README.md
    5.67 kB
    Update README.md 2 months ago
  • collins_sts_comparison.png
    350 kB
    xet
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  • config_sentence_transformers.json
    283 Bytes
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  • modules.json
    119 Bytes
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